Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Low-complexity belief propagation detection algorithm for large-scale MIMO system

A belief propagation, low-complexity technology, applied in the field of next-generation wireless communication, can solve problems such as limiting the scope of application

Inactive Publication Date: 2016-06-08
SOUTHEAST UNIV
View PDF2 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the approximation error is related to the configuration of the number of antennas, which limits its application range

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Low-complexity belief propagation detection algorithm for large-scale MIMO system
  • Low-complexity belief propagation detection algorithm for large-scale MIMO system
  • Low-complexity belief propagation detection algorithm for large-scale MIMO system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0047] A low-complexity belief propagation detection algorithm for massive MIMO systems. In massive MIMO systems, its equivalent real-number domain model is used to construct corresponding factor graphs, and complex-number domain operations are transformed into real-number domain operations. Realization based on BP The iterative detection of ; Among them, the factor graph is used to represent the dependency between the received signal and the transmitted signal, the t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a low-complexity belief propagation detection algorithm for a large-scale MIMO system. A corresponding factor graph is built by utilizing an equivalent real number field model, and complex number field operation is translated into real number field operation, thereby implementing BP-based iteration detection; wherein the factor graph is used for representing a dependency relation between a receiving signal and a transmitting signal, the transmitting signal is utilized as a signal node, and the receiving signal is utilized as an observation node; each signal node updates prior information according to posterior information obtained from the observation node, and then transmits the updated prior information to all observation nodes connected with the signal node; each observation node calculates updates posterior information according to prior information obtained from the signal node, and then transmits the updated posterior information to a signal node connected with the observation node. According to the low-complexity belief propagation detection algorithm for the large-scale MIMO system, a symbol-based large-scale MIMO detection algorithm is implemented; high-dimensional matrix inversion is avoided, and the low-complexity belief propagation detection algorithm can be greatly suitable for application scenarios of the large-scale MIMO.

Description

technical field [0001] The invention belongs to the technical field of next-generation wireless communication, and is an efficient detector for an uplink base station receiver in a massive multi-antenna (MIMO) system with arbitrary antenna configuration and modulation order. Background technique [0002] The modern development of wireless communication technology began in the 1990s, its development speed has been on the rise, its development scale is constantly expanding, and its application scope is becoming more and more extensive. With the development of computer network technology, wireless communication technology actively uses information technology to promote its own development and growth, so that the technological content and technical level of wireless communication technology have been greatly improved, so that wireless communication technology can be better used In more fields, it has entered the development stage of social function diversification, network integ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/08H04B7/04
CPCH04B7/0854H04B7/0413
Inventor 张川杨俊梅尤肖虎
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com